Final Degree Theses

Dear Students,

 In case of questions concerning deadlines and examinations, please adhere to the given rules of the university

(https://www.uni-hamburg.de/newsroom/intern/2020/0131-corona-faq.html)

and additionally consult:

https://www.inf.uni-hamburg.de/studies/orga/news/current/stb-info-corona.html (english version on the bottom).

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Looking for a topic for your thesis? You can find it right here!

The final degree thesis is one of the most important parts of your studies. Essentially, it is a matter of applying the hard-earned knowledge collected in the numerous lectures, seminars, projects and other events to a specific problem and develop a self-proposed solution - of course by taking into account the principles of scientific work. Part of the scientific way of working is to create a self-consistent, well formatted and concise bibliography. As support for the construction of such a list, we encourage you to use Zotero. In the right-hand section "Templates and Notes" you can find more information on using this reference management software.

Assisting you in your important task of writing a thesis is a central concern to us. At our institute students can select,  therefore, from a wide range of possible topics. Apart from that your own topic proposals are always welcome. If you already have an idea for your thesis, we would like to help you develop and  define the final title. We are also happy to support you with your practical thesis, written in collaboration with a company.

Practice-oriented Theses

You can also write your bachelor, master or diploma thesis in collaboration with a company. The practical work contained in your thesis will be connected with theoretical concepts in order to examine both the scientific and the practical side of your topic. Of course, you can contact potential companies by yourself but your IWI supervisor can also help you with that.

Range of Topics

Being a large institute we have the possibility to offer a very wide range of thesis topics. According to our general orientation, we give special priority to topics concerning information systems. Our core competences are forecasting and decision support systems, for instance in the fields of maritime logistics or production. A list of current thesis proposals of our staff can be found here. Please see this list only as a selection of topics. Brand new ideas cannot always be presented on this website ad hoc. Below you can see a list of topics according to the interests of our single institute members:

Prof. Dr. Stefan Voß	forecasting and decision support for information systems and information management metaheuristics, matheuristics computational logistics (e.g. information and communication systems for maritime logistics,  air-freight logistics or for container terminals) network design network economics (e.g. road pricing) public transport (e.g. passenger information systems) supply chain management corporate governance and IT governance
Dr. Kai Brüssau	business process management, for instance, utilization of BPM systems or implementation of business processes web applications, such as trends in technologies for web applications big data, e.g., methods for data mining in the context of big data or technologies for implementing big data applications simulation, e.g., for solving business problems in planning port logistics or for other applications optimization, e.g. for solving business planning problems with the help of heuristics or other methods other topics in the field of SAP ERP, which can be partly linked to the above-shown topics
Michael Palk	social network analysis with graph-theory machine learning with artificial intelligence in the marketing field data-driven marketing (e.g. in customer relationship management) heuristic and exact optimization approaches, especially for graph-theoretical problems
Dr. Gabriele Schneidereit	information management in traffic and transport logistics
Dr. Robert Stahlbock	maritime logistics, especially. container logistics (strategic, operational) business intelligence and data mining

Supervisors